Sie sind hier: Startseite Laboratories Stieglitz, Thomas Projects


MOTOR-BIC​ - Implantable bidirectional Brain-Computer-Interface for rehabilitation of motor functions

Project description

Brain-Machine-Interfaces (BMI) are supposed to serve avarietyofapplicationssuch as stroke rehabilitation, communication for locked-in patients and treatment of Parkinson’s disease, pain, epilepsy or psychiatric disorders. WithintheMOTOR-BIC project, we push forward the approval of a totally implantable closed-loop Brain-Interchange (BIC)system.Academicandindustrialpartnersjointheirexpertise to develop the first long-termimplantable,wirelessandbidirectionalinterfacesystem that is able to record brain activity with a high signal-to-noise ratio and very good local resolution, process it and translate it into the control- and feedback signals required for BMI-therapies. CorTec is coordinating the project and provides the neurotechnological platform. The Department for Microsystems Engineering at the University of Freiburg enhances the implantable hardware. Design and testing of new highly integrated microchips is carried out by the InstituteofMicroelectronics at the University of Ulm. Clinical studies are carried out at the University Medical Centres in Freiburg and Tuebingen.

Start/End of project

01.05.2015 until 30.04.2018

Project manager

Prof. Dr. Thomas Stieglitz

Contact person

Prof. Dr. Thomas Stieglitz
Phone:203- 7471


University of Freiburg, Department of Microsystems Engineering​: Prof. Thomas Stieglitz CorTec GmbH Freiburg​: Dr. Joern Rickert, Dr. Martin Schuettler University Clinics Tuebingen, Department of Medical Psychology and Behavioral Neurobiology​: Prof. Niels Bierbaumer, Dr. Ander Ramos, Prof. Ulf Ziemann, Dr. Florian Mueller-Dahlhaus University of Ulm, Institute of Microelectronics​: Prof. Maurits Ortmanns University Medical Centre Freiburg​: Prof. Tonio Ball, Dr. Mortimer Gierthmuehlen, Prof. Andreas Schulze-Bonhage, Prof. Volker Coenen Max Planck Institute for Intelligent Systems Tuebingen​: Dr. Moritz Grosse-Wentrup


KMU-innovativ Projekt


Neural engineering, neural implant, closed-loop, Brain-Machine-Interface, long-term stability, stroke rehabilitation
Benutzerspezifische Werkzeuge